The study examines the principle of creating virtual exhibitions as a means of integration into the Common Digital Space of Scientific Knowledge (CDSSK), information systems in the field of science and culture, with the aim of promoting science, ensuring access to information in various scientific fields, and drawing attention to current issues and achievements in the scientific sphere. The main methods of creating virtual exhibitions are formulated, including content selection and segmentation into main sections. In addition, a classification of virtual exhibitions into autonomous, remote, and combined is proposed. Special attention is paid to the methodology of creating virtual exhibition at the Moscow Center of the Russian Academy of Sciences. Using the example of an interdepartmental combined virtual exhibition, a detailed description of the "Mrs. Penicillin" exhibition dedicated to the creator of penicillin, Z.V. Ermolyeva, is provided.

The Common Digital Space of Scientific Knowledge (CDSSK) is a digital information environment aggregating heterogeneous information related to various aspects of scientific knowledge. One of the important functions of the CDSSK is to provide information for solving artificial intelligence problems, which makes it necessary to support data in a structure that complies with the rules of the semantic WEB. The features of the CDSSK are, on the one hand, the polythematics and heterogeneity of content elements, on the other hand, the high dynamics of the emergence of new types of objects and connections between them, which is due to the specifics of the development of science. At the same time, it should be possible to navigate through heterogeneous space resources using semantic links between them. The possibilities of the CDSSK are largely determined by the structure of the ontology of space, the model of which is proposed in this paper. Within the framework of the model, the hierarchical structuring of the CDSSK ontology is carried out; such elements as "subspace", "class of objects", "object", "attributes of an object", three types of pairwise relations of objects or attributes (universal, quasi-universal and specific) are distinguished and defined. The structure of each elements type is determined by a "reference book" of a unified type; specific values of attributes and relationships are contained in dictionaries of a unified structure. A class of "Formats" objects describing the rules for the formation of attributes and values of relationships is allocated. The formalization of CDSSK reference books and dictionaries representations is proposed. The proposed model allows you to simply add new types of objects, of their pairwise relationships and attributes to the space, as needed.

Subject ontology in the context of this article is understood as a set of key concepts related to a certain field of science, with their semantic connections, supplemented by indexes of various classification systems describing this scientific field. Subject ontologies are a necessary component of each subspace that is part of the Unified digital space of scientific knowledge (DSSK). This article presents the results of research related to the construction of subject ontologies based on the created automated system for supporting terminological dictionaries and suggests a methodology for identifying new key terms in a particular field of science. The proposed methodology is based on the use of existing classification systems in conjunction with citation databases, such as Web of Science and Scopus for English–language publications and the Russian citation index for Russian-language publications. The methodology involves dividing the scientific field into a number of sections in accordance with the selected classification system, extracting from the CSB the core of articles related to each section, and from the articles - new author's keywords, which should constitute, in combination with the corresponding sections of classification systems, the basis of the subject ontologies of this scientific field.